How does testing affect the availability of aging software systems?

Performance Evaluation

Volumn 70, Issue 3, 2013, Pages 179-196

  Grottke, Michael ^a   Schleich, Benjamin ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Rejuvenation rate; Semi Markov process; Software aging; Steady state availability; Testing phase; Transient state probability

Indexed keywords

AVAILABILITY; COMPUTER SOFTWARE; ENDOCRINOLOGY; MARKOV PROCESSES;

SEMI MARKOV PROCESS; SOFTWARE AGING; STEADY-STATE AVAILABILITY; TESTING PHASE; TRANSIENT STATE;

SOFTWARE TESTING;

EID: 84883657030     PISSN: 01665316     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.peva.2012.05.007     Document Type: Article

References (37)

1. Y. Huang, C. Kintala, N. Kolettis, N. Fulton, Software rejuvenation: analysis, module and applications, in: Proc. 25th International Symposium on Fault- Tolerant Computing, 1995, pp. 381-390.
2. M. Grottke, K.S. Trivedi, A classification of software faults, in: Supplemental Proc. 16th International Symposium on Software Reliability Engineering, 2005, pp. 4.19-4.20.
3. M. Grottke, K.S. Trivedi, Software faults, software aging and software rejuvenation, Journal of the Reliability Engineering Association of Japan 27 (7) (2005) 425-438.
4. M. Grottke, K.S. Trivedi, Fighting bugs: remove, retry, replicate, and rejuvenate, IEEE Computer 40 (2) (2007) 107-109.
5. M. Grottke, R. Matias Jr., K.S. Trivedi, The fundamentals of software aging, in: Proc. 1st International Workshop on Software Aging and Rejuvenation, 2008.
6. M. Grottke, A.P. Nikora, K.S. Trivedi, An empirical investigation of fault types in space mission system software, in: Proc. 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2010, pp. 447-456.
7. T. Dohi, K. Goševa-Popstojanova, K.S. Trivedi, Analysis of software cost models with rejuvenation, in: Proc. International Symposium on High Assurance Systems Engineering, 2000, pp. 25-34.
8. T. Dohi, K. Goševa-Popstojanova, K.S. Trivedi, Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule, in: Proc. International Pacific Rim Symposium on Dependable Computing, 2000, pp. 77-84.
9. T. Dohi, K. Goševa-Popstojanova, K.S. Trivedi, Estimating software rejuvenation schedules in high assurance systems, Computer Journal 44 (6) (2001) 473-482.
10. S. Garg, A. Puliafito, M. Telek, K.S. Trivedi, Analysis of software rejuvenation using Markov regenerative stochastic Petri net, in: Proc. 6th International Symposium on Software Reliability Engineering, 1995, pp. 24-27.
11. H. Suzuki, T. Dohi, K. Goševa-Popstojanova, K.S. Trivedi, Analysis and estimation of multi-step failure models with periodic software rejuvenation, in: J.R. Artalejo, A. Krishnamoorthy (Eds.), Advances in Stochastic Modelling, Notable Publications, Neshanic Station, 2002, pp. 85-108.
12. S. Garg, A. Puliafito, M. Telek, K.S. Trivedi, Analysis of preventive maintenance in transactions based processing systems, IEEE Transactions on Computers 47 (1) (2001) 96-107.
13. K. Vaidyanathan, K.S. Trivedi, A comprehensive model for software rejuvenation, IEEE Transactions on Dependable and Secure Computing 2 (2) (2005) 124-137. (Pubitemid 41259861)
14. F. Salfner, K. Wolter, Analysis of service availability for time-triggered rejuvenation policies, Journal of Systems and Software 83 (9) (2010) 1579-1590.
15. R. Matias Jr., P.J. Freitas Filho, An experimental study on software aging and rejuvenation in web servers, in: Proc. 30th Annual International Computer Software and Applications Conference, 2006, pp. 189-196.
16. R. Matias Jr., P.A. Barbetta, K.S. Trivedi, P.J. Freitas Filho, Accelerated degradation tests applied to software aging experiments, IEEE Transactions on Reliability 59 (1) (2010) 102-114.
17. G. Carrozza, D. Cotroneo, R. Natella, A. Pecchia, S. Russo, Memory leak analysis of mission-critical middleware, Journal of Systems and Software 83 (9) (2010) 1556-1567.
18. R. Matias Jr., K.S. Trivedi, P.R.M. Maciel, Using accelerated life tests to estimate time to software aging failure, in: Proc. 2010 IEEE 21st International Symposium on Software Reliability Engineering, 2010, pp. 211-219.
19. M.R. Lyu (Ed.), Handbook of Software Reliability Engineering, McGraw-Hill, New York, 1996.
20. J.D. Musa, A. Iannino, K. Okumoto, Software Reliability - Measurement, Prediction, Application, McGraw-Hill, New York, 1987.
21. H. Pham, System Software Reliability, Springer, London, 2006.
22. Y. Chen, N.D. Singpurwalla, Unification of software reliability models by self-exciting point processes, Advances in Applied Probability 29 (2) (1997) 337-352. (Pubitemid 127554408)
23. O. Gaudoin, Outils statistiques pour l'évaluation de la fiabilité des logiciels. Thèse de doctorat, Université de Joseph Fourier - Grenoble 1, Grenoble, 1990.
24. M. Grottke, Prognose von Softwarezuverlässigkeit, Softwareversagensfällen und Softwarefehlern, in: P. Mertens, S. Rässler (Eds.), Prognoserechnung, seventh ed., Springer/Physica, Berlin, 2012, pp. 585-619.
25. J. Ledoux, Software reliability modeling, in: H. Pham (Ed.), Handbook of Reliability Engineering, Springer, London, 2003, pp. 213-234.
26. Z. Jelinski, P. Moranda, Software reliability research, in: W. Freiberger (Ed.), Statistical Computer Performance Evaluation, Academic Press, New York, 1972, pp. 465-484.
27. B. Littlewood, J.L. Verrall, A Bayesian reliability growth model for computer software, Journal of the Royal Statistical Society, Series C 22 (3) (1973) 332-346.
28. B. Littlewood, Stochastic reliability-growth: a model for fault-removal in computer-programs and hardware-design, IEEE Transactions on Reliability 30 (4) (1981) 313-320. (Pubitemid 12448389)
29. G.J. Schick, R.W. Wolverton, An analysis of competing software reliability models, IEEE Transactions on Software Engineering 4 (2) (1978) 104-120.
30. K.S. Trivedi, Probability and Statistics with Reliability, Queuing, and Computer Science Applications, second ed., John Wiley & Sons, New York, 2001.
31. A. Macêdo, T.B. Ferreira, R. Matias Jr., The mechanics of memory-related software aging, in: Proc. 2010 IEEE Second International Workshop on Software Aging and Rejuvenation, 2010.
32. N.J. Dingle, Iterative transient state distribution calculation in semi-Markov processes, in: Proc. Third Workshop on Process Algebras and Stochastically Timed Activities, 2004, pp. 1-9.
33. R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN: 3-900051-07-0, 2011, http://www.R-project.org.
34. J. Abate, P.P. Valkó, Multi-precision Laplace transform inversion, International Journal for Numerical Methods in Engineering 60 (5) (2004) 979-993. (Pubitemid 38790531)
35. S. Chandra, P.M. Chen, Whither generic recovery from application faults? A fault study using open-source software, in: Proc. 2000 International Conference on Dependable Systems and Networks, 2000, pp. 97-106.
36. D. Cotroneo, S. Orlando, S. Russo, Failure classification and analysis of the Java Virtual Machine, in: Proc. 26th IEEE International Conference on Distributed Computing Systems, 2006.
37. C.-Y. Huang, C.-T. Lin, Analysis of software reliability modeling considering testing compression factor and failure-to-fault relationship, IEEE Transactions on Computers 59 (2) (2010) 283-288.